SOTAVerified

Decision Making

Papers

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Showing 7301–7325 of 12311 papers

TitleStatusHype
PassNet: Learning pass probability surfaces from single-location labels. An architecture for visually-interpretable soccer analytics—0
PathFinder: A Multi-Modal Multi-Agent System for Medical Diagnostic Decision-Making Applied to Histopathology—0
Path To Gain Functional Transparency In Artificial Intelligence With Meaningful Explainability—0
Path to Stochastic Stability: Comparative Analysis of Stochastic Learning Dynamics in Games—0
Patient Outcome Predictions Improve Operations at a Large Hospital Network—0
Patient Similarity Analysis with Longitudinal Health Data—0
Patient-specific computational forecasting of prostate cancer growth during active surveillance using an imaging-informed biomechanistic model—0
Patient-specific prediction of glioblastoma growth via reduced order modeling and neural networks—0
Pattern recognition of labeled concepts by a single spiking neuron model.—0
Patterns, predictions, and actions: A story about machine learning—0
Pattern-wise Transparent Sequential Recommendation—0
Pavlovian Signalling with General Value Functions in Agent-Agent Temporal Decision Making—0
Payoff Mechanism Design for Coordination in Multi-Agent Task Allocation Games—0
PCA Methods and Evidence Based Filtering for Robust Aircraft Sensor Fault Diagnosis—0
PcLast: Discovering Plannable Continuous Latent States—0
PDB: Not All Drivers Are the Same -- A Personalized Dataset for Understanding Driving Behavior—0
PDE-constrained optimization in medical image analysis—0
p-DLA: A Predictive System Model for Onshore Oil and Gas Pipeline Dataset Classification and Monitoring - Part 1—0
PDQN - A Deep Reinforcement Learning Method for Planning with Long Delays: Optimization of Manufacturing Dispatching—0
PD-SEG: Population Disaggregation Using Deep Segmentation Networks For Improved Built Settlement Mask—0
PEAR: Primitive enabled Adaptive Relabeling for boosting Hierarchical Reinforcement Learning—0
Pedagogy-R1: Pedagogically-Aligned Reasoning Model with Balanced Educational Benchmark—0
Pedestrian crossing decisions can be explained by bounded optimal decision-making under noisy visual perception—0
Pedestrian intention prediction in Adverse Weather Conditions with Spiking Neural Networks and Dynamic Vision Sensors—0
Pedestrian Trajectory Prediction with Structured Memory Hierarchies—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1SRLAAverage Remaining Cycles6.4—Unverified